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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Mapping hearthstone deck spaces through MAP-elites with sliding boundaries
Matthew C. Fontaine, Scott Lee, L. B. Soros, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2019)
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Procedural Content Generation through Quality Diversity
Daniele Gravina, Ahmed Khalifa, Antonios Liapis, et al.
2021 IEEE Conference on Games (CoG) (2019), pp. 1-8
Open Access | Times Cited: 61
Covariance matrix adaptation for the rapid illumination of behavior space
Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2020)
Open Access | Times Cited: 45
Discovering representations for black-box optimization
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Proceedings of the Genetic and Evolutionary Computation Conference (2020), pp. 103-111
Open Access | Times Cited: 41
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 7, pp. 5922-5930
Open Access | Times Cited: 32
Multi-Robot Coordination and Layout Design for Automated Warehousing
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, et al.
(2023), pp. 5503-5511
Open Access | Times Cited: 12
Baba is Y’all: Collaborative Mixed-Initiative Level Design
M Charity, Ahmed Khalifa, Julian Togelius
2021 IEEE Conference on Games (CoG) (2020), pp. 542-549
Open Access | Times Cited: 34
Differentiable Quality Diversity
Matthew C. Fontaine, Stefanos Nikolaidis
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 28
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine, Stefanos Nikolaidis
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 456-465
Open Access | Times Cited: 10
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
Miguel González-Duque, Rasmus Palm, David Ha, et al.
2021 IEEE Conference on Games (CoG) (2020), pp. 503-510
Open Access | Times Cited: 27
The Many AI Challenges of Hearthstone
Amy K. Hoover, Julian Togelius, Scott Lee, et al.
KI - Künstliche Intelligenz (2019) Vol. 34, Iss. 1, pp. 33-43
Closed Access | Times Cited: 26
Multi-emitter MAP-elites
Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 84-92
Open Access | Times Cited: 22
Learning Controllable 3D Level Generators
Zehua Jiang, Sam Earle, Michael Cerny Green, et al.
(2022), pp. 1-9
Open Access | Times Cited: 15
Evolving the Hearthstone Meta
Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, et al.
2021 IEEE Conference on Games (CoG) (2019), pp. 1-8
Open Access | Times Cited: 23
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy
Matthew C. Fontaine, Stefanos Nikolaidis
(2021)
Open Access | Times Cited: 19
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder
Anurag Sarkar, Seth Cooper
(2021), pp. 1-11
Open Access | Times Cited: 18
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 5360-5366
Open Access | Times Cited: 12
Introducing Tales of Tribute AI Competition
Jakub Kowalski, Radosław Miernik, Katarzyna Polak-Kraśna, et al.
2021 IEEE Conference on Games (CoG) (2024), pp. 1-8
Open Access | Times Cited: 2
Learning behaviour-performance maps with meta-evolution
David M. Bossens, Jean-Baptiste Mouret, Danesh Tarapore
Proceedings of the Genetic and Evolutionary Computation Conference (2020)
Open Access | Times Cited: 19
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 19
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding
Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 158-167
Open Access | Times Cited: 11
Evaluating Human–Robot Interaction Algorithms in Shared Autonomy via Quality Diversity Scenario Generation
Matthew C. Fontaine, Stefanos Nikolaidis
ACM Transactions on Human-Robot Interaction (2022) Vol. 11, Iss. 3, pp. 1-30
Open Access | Times Cited: 11
Quality Diversity Evolutionary Learning of Decision Trees
Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2023), pp. 425-432
Open Access | Times Cited: 6
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023)
Open Access | Times Cited: 6
Summarizing Strategy Card Game AI Competition
Jakub Kowalski, Radosław Miernik
2021 IEEE Conference on Games (CoG) (2023), pp. 1-8
Open Access | Times Cited: 5
Evolutionary Approach to Collectible Arena Deckbuilding using Active Card Game Genes
Jakub Kowalski, Radosław Miernik
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 14
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